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Training in progress epoch 8

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.0610
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- - Train End Logits Accuracy: 0.7222
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- - Train Start Logits Accuracy: 0.6963
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- - Validation Loss: 0.5471
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- - Validation End Logits Accuracy: 0.8490
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- - Validation Start Logits Accuracy: 0.8476
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- - Epoch: 7
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 1.3785 | 0.6500 | 0.6241 | 0.8309 | 0.7823 | 0.7724 | 5 |
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  | 1.2118 | 0.6880 | 0.6604 | 0.6918 | 0.8105 | 0.8116 | 6 |
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  | 1.0610 | 0.7222 | 0.6963 | 0.5471 | 0.8490 | 0.8476 | 7 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.9249
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+ - Train End Logits Accuracy: 0.7495
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+ - Train Start Logits Accuracy: 0.7272
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+ - Validation Loss: 0.4426
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+ - Validation End Logits Accuracy: 0.8770
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+ - Validation Start Logits Accuracy: 0.8763
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+ - Epoch: 8
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  ## Model description
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  | 1.3785 | 0.6500 | 0.6241 | 0.8309 | 0.7823 | 0.7724 | 5 |
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  | 1.2118 | 0.6880 | 0.6604 | 0.6918 | 0.8105 | 0.8116 | 6 |
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  | 1.0610 | 0.7222 | 0.6963 | 0.5471 | 0.8490 | 0.8476 | 7 |
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+ | 0.9249 | 0.7495 | 0.7272 | 0.4426 | 0.8770 | 0.8763 | 8 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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